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Languages & runtimes · #graphql
A decision guide for Apollo Client fetchPolicy: compare cache-first, network-only, cache-and-network, and no-cache against freshness, load, and offline needs.
Persisted queries let a GraphQL server execute only pre-approved operations by hash. Here's how the APQ exchange works, when to move to a strict allow-list, and how to verify it.
Cursor pagination in GraphQL only works if you treat cursors as untrusted input, commit to an immutable sort contract, and monitor the specific ways keyset pagination fails.
A step‑by‑step diagnostic guide for fixing Gatsby incremental build cache corruption and stale GraphQL data that causes schema mismatches or missing content in CI.
A GraphQL endpoint that slows linearly with list size almost always has the N+1 resolver problem. Here's how to confirm it with query counts and fix it with per-request DataLoader batching.
Discover how Facebook solved mobile data inefficiencies by replacing REST with GraphQL to eliminate over-fetching and reduce network round-trips.
Learn how Apollo Client’s automatic cache normalization creates a single source of truth for GraphQL objects, preventing duplicate data and stale UI after mutations.
Cursor pagination in GraphQL keeps large blog listings fast and predictable. Learn how to implement it, benchmark performance, and integrate infinite scroll on the client side.
A diagnostic guide to Apollo Client pagination failures: why fetchMore duplicates or drops pages, how to inspect the normalized cache, and when to escalate.
apollographql
gatsby
facebook